AIMC Topic: Feasibility Studies
Clear Filters Showing 621 to 630 of 875 articles
Machine learning in the integration of simple variables for identifying patients with myocardial ischemia.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
May 22, 2018
BACKGROUND: A significant number of variables are obtained when characterizing patients suspected with myocardial ischemia or at risk of MACE. Guidelines typically use a handful of them to support further workup or therapeutic decisions. However, it ...
A Crossover Comparison of Standard and Telerobotic Approaches to Prenatal Sonography.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Apr 24, 2018
OBJECTIVES: To determine the feasibility of a telerobotic approach to remotely perform prenatal sonographic examinations.
Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications.
Computational intelligence and neuroscience
Apr 19, 2018
Multivariate classification techniques have been widely applied to decode brain states using functional magnetic resonance imaging (fMRI). Due to variabilities in fMRI data and the limitation of the collection of human fMRI data, it is not easy to tr...
Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
The growing amount of data describing historical medicinal uses of plants from digitization efforts provides the opportunity to develop systematic approaches for identifying potential plant-based therapies. However, the task of cataloguing plant use ...
Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement.
The Journal of surgical research
Apr 11, 2018
BACKGROUND: Early identification of critically ill patients who will require prolonged mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use machine learning to identify patients at risk for PMV and tracheostom...
Feasibility of robot-based perturbed-balance training during treadmill walking in a high-functioning chronic stroke subject: a case-control study.
Journal of neuroengineering and rehabilitation
Apr 11, 2018
BACKGROUND: For stroke survivors, balance deficits that persist after the completion of the rehabilitation process lead to a significant risk of falls. We have recently developed a balance-assessment robot (BAR-TM) that enables assessment of balancin...
Feasibility of an AI-Based Measure of the Hand Motions of Expert and Novice Surgeons.
Computational and mathematical methods in medicine
Mar 4, 2018
This study investigated whether parameters derived from hand motions of expert and novice surgeons accurately and objectively reflect laparoscopic surgical skill levels using an artificial intelligence system consisting of a three-layer chaos neural ...
Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study.
International journal of medical informatics
Feb 8, 2018
OBJECTIVE: To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in stroke patients through use of an enhanced task-specific electronic medical record (EMR) interface powered by natural language processing (NLP) techn...
Respiratory motion correction for free-breathing 3D abdominal MRI using CNN-based image registration: a feasibility study.
The British journal of radiology
Jan 31, 2018
OBJECTIVE: Free-breathing abdomen imaging requires non-rigid motion registration of unavoidable respiratory motion in three-dimensional undersampled data sets. In this work, we introduce an image registration method based on the convolutional neural ...
Feasibility of predicting tumor motion using online data acquired during treatment and a generalized neural network optimized with offline patient tumor trajectories.
Medical physics
Jan 12, 2018
PURPOSE: The accurate prediction of intrafraction lung tumor motion is required to compensate for system latency in image-guided adaptive radiotherapy systems. The goal of this study was to identify an optimal prediction model that has a short learni...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31144
- Neural Networks, Computer 29771
- Algorithms 26915
- Deep Learning 26421
- Artificial Intelligence 24361
- Robotics 13323
- Image Processing, Computer-Assisted 9552
- Retrospective Studies 9137
- Magnetic Resonance Imaging 6200
- Reproducibility of Results 5602
- Tomography, X-Ray Computed 4778
- Support Vector Machine 4696
- Computational Biology 4246
- Brain 4056
- Computer Simulation 3887
Recent Journals
- Scientific reports 6082
- Sensors (Basel, Switzerland) 4794
- PloS one 4051
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1137
- Journal of chemical information and modeling 1006
- Nature communications 959
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 862
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 830